AES E-Library

In this paper, an automatic commercial monitoring system using
audio fingerprinting is proposed. The goal of the commercial
monitoring system is to identify the title and the exact duration
of commercials in real-time. To achieve this, only the audio is
considered. The audio is easy to handle in real-time and can
provide high accuracy for commercial identification. More
precisely, the spectral subband centroids are extracted from an
audio part of a commercial and indexed using the K-D tree
algorithm. To detect aired commercials robustly, a four-step
verification method using the indexed tree of the commercials is
proposed. Experimental results show that the proposed system is
robust against degradations during the real broadcasting and
recording process and thus can fulfill the commercial monitoring
satisfactorily.